Description
Author Rayner and his colleagues consider problems including the most commonly occurring and important experimental designs: the one-sample, k-sample, blocked samples, samples with factorial structure and samples with correlation structure. Innovative new techniques are outlined and complemented with real examples. Techniques described may be applied to data where the traditional, most frequently applied nonparametric tests, such as the Kruskal-Wallis, the Friedman and the Spearman tests, are applied.
Those familiar with traditional nonparametric testing will be able to update their knowledge, acquiring powerful new methods. Those without prior knowledge of nonparametric testing will be able to acquire that knowledge through this book. Aimed at sensory scientists and statisticians interested in nonparametrics, the techniques of Nonparametrics for Sensory Science are of broad general interest, but are of particular interest in sensory evaluation applications.
About the Author
J.C.W. RAYNER, Ph.D. is associate professor in the School of Mathematics and Applied Statistics at the University of Wollongong, Australia.
D.J. BEST, Ph.D. is former principal research scientist at CSIRO Division of Food Research and is now principal research fellow in the School of Mathematics and Applied Statistics at the University of Wollongong, Australia.
P.B. BROCKHOFF, Ph.D. is professor of Informatics and Mathematical Modelling at the Technical University of Denmark.
G.D. RAYNER, Ph.D.is a fellow of the University of Wollongong, Australia.
Book Information
ISBN 9780813811123
Author J. C. W. Rayner
Format Hardback
Page Count 192
Imprint Wiley-Blackwell
Publisher John Wiley and Sons Ltd
Weight(grams) 417g
Dimensions(mm) 237mm * 160mm * 17mm